Winning at Any Cost - Infringing the Cartel Prohibition with Reinforcement Learning.
Michael SchlechtingerDamaris KosackHeiko PaulheimThomas FetzerPublished in: PAAMS (2021)
Keyphrases
- reinforcement learning
- function approximation
- multi agent
- machine learning
- computational complexity
- markov decision processes
- state space
- data mining
- robotic control
- minimal cost
- temporal difference
- lower bound
- learning algorithm
- query processing
- special case
- cost function
- dynamic programming
- search space
- optimal policy
- learning problems
- cost sensitive
- case study
- total cost
- high cost
- search engine
- neural network